A method for charging control of a hybrid electric vehicle, includes: receiving a charging instruction; acquiring a first voltage of a power battery and a second voltage of a storage battery in response to receiving the charging instruction; in response to determining that the first voltage is less than the first voltage threshold and the second voltage is less than the second voltage threshold, disconnecting the OBC from the power battery and charging the storage battery through the OBC and the DC for a charging duration; and in response to that the charging duration of the storage battery reaches a duration threshold, connecting the OBC to the power battery and charging the power battery through the OBC.

A vehicle control system includes a first vehicle sensor configured to monitor a condition of a battery pack; a second vehicle sensor configured to monitor a torque request; and a braking control circuit communicably coupled to the first vehicle sensor and the second vehicle sensor. The braking control circuit is configured to (i) determine an operating mode for a braking system based on the battery condition and the torque request, and (ii) control the braking system based on the operating mode.

A method and system of controlling hydrogen purge are provided. The method includes estimating an air supply rate supplied to a fuel cell stack and then executing hydrogen purge based on the estimated air supply rate.

A fuel cell system has a first boost converter of a fuel cell, a second boost converter of a secondary battery, and a control unit. Output sides of the first boost converter and the second boost converter are connected so as to be the same potential. The control unit is configured to, when detecting failure of the second boost converter, cause input and output sides of the second boost converter to conduct, estimate an open circuit voltage of the secondary battery based on a state of charge, and execute electric power consumption by an accessory that operates by electric power supplied from the fuel cell when determining that the first boost converter is not able to boost the output voltage of the fuel cell to the open circuit voltage, and stops the electric power consumption by the accessory when determining that the first boost converter is able to boost.

A method of detecting a thermal event associated with a battery assembly of an electrified vehicle includes, among other things, obtaining a temperature reading from a sensor associated with an area of the battery assembly, assessing whether the sensor is flagged with a first identifier or a second identifier. The first identifier indicates that the temperature reading is reliable. The second identifier indicates that the temperature reading is unreliable. If the sensor is flagged with the first identifier, the method detects a thermal event associated with the battery assembly based on the temperature reading from the sensor.

Methods and apparatuses for accurately estimating an internal temperature of a secondary battery with a charging rate SOC and a charge/discharge state taken into account are provided. A method may include a method of estimating an internal temperature (T) of a secondary battery for a vehicle, which includes a change determination process to be repeatedly performed and an internal temperature estimation process to be repeatedly performed.

A vehicle-mounted device for detecting battery state comprises a controller, a load unit, and a switch unit. The load unit is coupled to the battery, the switch unit is coupled between the battery and the load unit. The controller can control the switch unit to disconnect or connect the battery and the load unit at a predefined frequency. The controller can switch the load unit to generate ripple voltage on the battery, and measure the ripple voltage of each battery cell, an abnormal state of a battery can be determined according to the ripple voltage of each battery cell.

Embodiments of this application provide a battery management system (BMS) wake-up method, a BMS wake-up apparatus, and a storage medium, and pertains to the field of battery safety technologies. In this application, before a BMS hibernates, a wake-up threshold corresponding to first sampling information is determined based on an obtained extremum of the first sampling information of a battery cell. After the BMS hibernates, a sampling chip collects second sampling information of the battery cell when the BMS is hibernating, and transmits a wake-up signal to the BMS when it is determined that the second sampling information of the battery cell reaches the wake-up threshold. In this way, the BMS can be woken up in a timely manner by the wake-up signal, and therefore the BMS can find battery safety problems in a timely manner.

The present disclosure relates to a system for controlling a motor of a vehicle for increasing control accuracy of the motor for driving the vehicle, and an object of the present disclosure is to provide a system for controlling a motor of a vehicle, which may accurately perform a motor control even when a battery voltage (i.e., motor voltage) applied to the motor upon the driving control of the motor is changed.

In one aspect, computer-implemented method may include receiving, from a cloud-based computing system, one or more machine learning model parameters that are configured to enable predicting a remaining useful life of each cell of a battery pack of a vehicle. The method may include loading, into memory of a processing device at the vehicle, the one or more machine learning model parameters, receiving data comprising one or more measurements and one or more user battery usage profiles, and based on the data, executing a trained machine learning model with the one or more parameters to input the data and to output the remaining useful life of each cell of the battery pack.